SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench ML Score
5850
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 25 2025 06:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XHA-KG2US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3545
663.3 IPS |
|
|
Image Classification (F16)
|
100% |
2709
506.8 IPS |
|
|
Image Classification (I8)
|
100% |
2431
455.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
6209
103.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
6125
102.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4830
80.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
19764
23.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
19774
23.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16388
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
2887
215.5 IPS |
|
|
Object Detection (F16)
|
100% |
2921
218.1 IPS |
|
|
Object Detection (I8)
|
61% |
2676
199.8 IPS |
|
|
Face Detection (F32)
|
100% |
7556
89.8 IPS |
|
|
Face Detection (F16)
|
100% |
7806
92.8 IPS |
|
|
Face Detection (I8)
|
89% |
5475
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
19341
150.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17471
135.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
13991
108.5 IPS |
|
|
Style Transfer (F32)
|
100% |
51029
67.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47159
62.0 IPS |
|
|
Style Transfer (I8)
|
98% |
38355
50.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7455
266.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8618
307.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5412
193.3 IPS |
|
|
Text Classification (F32)
|
100% |
819
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
781
1.12 KIPS |
|
|
Text Classification (I8)
|
98% |
516
741.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3031
55.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2663
49.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1280
23.6 IPS |
